Harness, the AI DevOps Platform company, launched new integrations with Amazon Web Services (AWS), aiming to connect AI-driven software development directly with intelligent delivery processes. As enterprises increasingly adopt AI-assisted code generation tools to accelerate software creation, they face a pressing challenge: delivering that code safely, efficiently, and at scale.
Despite unprecedented levels of code output, traditional testing, security, and deployment workflows remain largely manual. Harness addresses this gap by combining AWS’s trusted AI developer solutions with its own delivery intelligence. This synergy establishes a continuous path from code creation to deployment, effectively transforming software development in the AI era. Rather than treating coding, testing, and deployment as separate steps, Harness enables a continuous feedback loop that learns and improves over time.
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Integrations Designed for AI-Era Delivery
Harness announced three key initiatives that integrate AI development and delivery into a seamless system:
- Harness MCP Server with Kiro Integration – Developers can now manage and troubleshoot CI/CD pipelines, investigate security issues, run chaos engineering experiments, and analyze cloud costs directly from AWS environments using natural language queries.
- Harness SaaS on AWS – Enterprises can deploy Harness on AWS with unified governance, security, and performance, while streamlining procurement via AWS Marketplace.
- Enhanced Collaboration on AI Delivery – Harness continues to evolve its Software Delivery Knowledge Graph, embedding developer checks, security, and workflow automation earlier in the lifecycle for more intelligent, adaptive software delivery.
“The core mission of Harness is to simplify software delivery so teams can move faster with confidence,” said Bala Venkatrao, Senior Vice President and General Manager of Platform at Harness. “Our ongoing collaboration with AWS takes that vision even further. By collaborating with one of the most trusted ecosystems in software development, we’re delivering a unified experience that connects AI-powered software development with intelligent delivery, enabling customers to deploy software innovation into production faster, safer, and more efficiently than ever before.”
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Kiro Integration: Bringing Delivery Intelligence to Developers
With Kiro integrated via the Harness MCP Server, engineering teams can move seamlessly from writing code to resolving delivery issues without switching tools. Developers can pinpoint failed builds, review recommended fixes, or trigger automated resolutions all directly within their IDE or CLI. Harness ensures that AI-generated code is not only fast to produce but also fast and safe to deploy.
Harness on AWS: Enterprise-Ready Delivery
Now fully deployable on AWS, Harness reinforces its position as a trusted, compliant AWS Partner. Enterprises can operate the platform entirely within AWS while maintaining governance, performance, and visibility across teams. This deployment reflects deep technical alignment with AWS, including compute, storage, and observability, creating a unified path from AI-assisted development to enterprise-scale delivery.
Advancing AI Software Innovation
Harness continues shaping the future of AI software delivery. Collaborative initiatives with AWS, such as rules-and-learning systems and shift-left developer checks, enable pipelines to detect and prevent recurring errors automatically. By leveraging AWS data in its Software Delivery Knowledge Graph, Harness provides enterprises with richer context, enhanced reliability, and continuous improvement in software governance and security.
Through these efforts, Harness and AWS are redefining software delivery, combining creation, verification, and deployment into one continuous, intelligent flow.
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